Aryan Garg

Aryan Garg

Generative Modeling and Computational Photography Researcher | ML/AI Engineer

I'm a 2nd year CS PhD student at the University of Wisconsin-Madison, advised by Professor Mohit Gupta.

I have been fortunate to work with many brilliant professors and experts throughout my journey. Prof. Renu Rameshan ignited my interest in computer vision early during my Bachelor's at IIT Mandi which also led me to exploring generative modeling for outdoor lighting during my junior year with Prof. Jean-François Lalonde and Dr. Yannick Hold-Geoffroy. After graduating, I spent a wonderful year at IIT Madras getting closer to sensors alongside developing 3D reconstruction and generative facial video editing methods as a Bosch Research Fellow at the Computational Imaging Lab directed by Prof. Kaushik Mitra. Interestingly, my vision sensors and generative interests got a human touch to them as I spent the summer of '24 at the Computational Behaviour Lab, advised by Prof. Antti Oulasvirta and now Professor, Yue Jiang.

My research focuses on generative modeling for imaging, vision, and photography. Currently, I'm working on HDR text-to-image models, semantically controllable dynamic range expansion, and lifting diffusion priors to long-horizon text-to-video generation.

Apart from research, I enjoy riding my motorcycle, baking and trekking. I also love to travel during the holidays to meet my close friends Julian Fabinc and Noemi Ippolito.

Recent News

Featured Projects

CVPR 2026 Highlight

gQIR: Generative Quanta Image Reconstruction

Adapting large-scale generative priors for photon-counting or SPAD-based neural ISPs to image under extreme motion.

BMVC 2024

HDRSplat: Gaussian Splatting for High Dynamic Range

High Dynamic Range 3D Gaussian Splatting from raw images. Achieves night-time HDR 3D reconstructions as well.

WACV-W 2025

IP-FaceDiff: Identity-Preserving Facial Video Editing

Identity-preserving facial video editing with diffusion models.

Publications

gQIR: Generative Quanta Image Reconstruction

Aryan Garg, Sizhuo Ma, Mohit Gupta

CVPR 2026 (Highlight; Top 10%)

Generative prior for photon-counting neural ISPs under extreme motion.

Radiance Fields from Photons

Sacha Jungerman, Aryan Garg, Mohit Gupta

ToG 2025 & SIGGRAPH 2026

NeRF and 3D Gaussian Splatting with Photons

Controllable GUI Exploration

Aryan Garg, Yue Jiang, Antti Oulasvirta

Preprint, 2025

Diffusion for automatic GUI designing & ideation

IP-FaceDiff: Identity-Preserving Facial Video Editing with Diffusion

Tharun Anand, Aryan Garg, Kaushik Mitra

WACV-W, 2025

Identity-Preserving Facial Video Editing with Diffusion

HDRSplat: Gaussian Splatting for High Dynamic Range 3D Scene Reconstruction

Shreyas Singh*, Aryan Garg*, Kaushik Mitra

BMVC, 2024

High Dynamic Range 3D Gaussian Splatting At Night

Stereo-Knowledge Distillation from dpMV to Dual Pixels for Light Field Video Reconstruction

Aryan Garg, Raghav Mallampali, Akshat Joshi, Shrisudhan Govindarajan, Kaushik Mitra

ICCP, 2024

Stereo Knowledge Distillation for dp-disparity estimation, dpMV dataset, and LFVR.

Parameter and Data Efficient Spectral Style DCGAN

Aryan Garg

ICLR Tiny Paper, 2024 (Oral Presentation)

Unconditional face generation at the speed and size of DCGAN using a relatively tiny training dataset (~4000).

G-PECNet: Towards a Generalizable Pedestrian Trajectory Prediction System

Aryan Garg, Renu Rameshan

ICLR Tiny Paper, 2024 (Oral Presentation)

Synthetic dataset generation and sinusoidal activations lead to a winning solution over the final displacement error.

Academic Services

Reviewer For

  • CVPR 2026
  • ECCV 2026
  • ICLR 2024, 2025, 2026
  • CVPR-W: AI for Content Creation, AI4CC 2024
  • ICVGIP 2023

Teaching Assistant

  • CS639.1 - Data Management (UW-Madison, Fall '24)
  • EE5719 - Deep Learning for Imaging (IIT Madras, Fall '23)
  • CS208 - Mathematical Foundations (IIT Mandi, Fall '21)
  • EE522 - Matrix Theory (IIT Mandi, Fall '21)